code: def __init__(self, task, encoder, decoder):
      super().__init__(task, encoder, decoder)
  
imports: import logging
  import math
  from ast import literal_eval
  import torch
  import torch.nn
  import torch.nn.functional
  from fairseq.models import FairseqEncoder, register_model, register_model_architecture, transformer
  from fairseq.modules import SinusoidalPositionalEmbedding
  from pytorch_translate import char_encoder, transformer, utils, vocab_constants
  from pytorch_translate.char_source_model import verify_pretrain_params
  from pytorch_translate.common_layers import TransformerEncoderGivenEmbeddings, VariableTracker
  from pytorch_translate.data.dictionary import TAGS
label_desc: Use image node_id 1 to create a new CharSourceTransformerModel object from inherited base classes: transformer with example: obj = CharSourceTransformerModel(task, encoder, decoder)